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Hacker News verdict · build
A cost-governance layer that validates prompt caching is actually working across multi-hop LLM provider chains and hard-stops spending when cache miss rates exceed thresholds.
Built for Engineering teams running AI agents through proxy layers (LiteLLM, Droid, similar) against metered cloud LLM APIs who need to prevent silent cache failures from causing runaway bills..
The receipts — real demand
“I just learned a $37,901.73 lesson about AWS Bedrock, Claude Opus, prompt caching, and the complete lack of hard safety rails around metered AI infrastructure. This was not a leaked key. This was not crypto mining. This was not an infinite loop. This was not one ridiculous request. It was a normal local coding-agent workflow: Droid -> OpenAI-compatible API -> LiteLLM -> AWS Bedrock -> Claude Opus 4.6 I as…”
6.3 / 10 · demand score
Pain 8
Willingness to pay 3
Specificity 7
Audience 6
Competition 1
Why this is a gap
Surfaced from a high-intensity complaint with clear willingness to pay and a specific, reachable audience.